AI trends in 2024: Graph Neural Networks
From fundamental research to productionized AI models, let’s discover how this cutting-edge technology is powering production applications and may be shaping the future of AI.
Marco Ramponi
Developer Educator at AssemblyAI
AI for Universal Audio Understanding: Qwen-Audio Explained
Recently, researchers have made progress towards universal audio understanding, marking an advancement towards foundational audio models. The approach is based on a joint audio-language pre-training that enhances performance without task-specific finetuning.
Introducing Our New Punctuation Restoration and Truecasing Models
We’ve trained new Punctuation and Truecasing models on 13 billion words to achieve a 39% F1 score improvement for mixed-case words. Building on a novel application of a hybrid architecture for a character-level classifier reduces inference time and improves the scalability of our Speech AI systems.
Combining Speech Recognition and Diarization in one model
A new approach towards multi-speaker speech processing integrates Speaker Diarization and Automatic Speech Recognition in a unified framework. We discuss the key insights from this recent exciting development in Speech AI research.
What AI Music Generators Can Do (And How They Do It)
Text-to-Music Models are advancing rapidly with the recent release of new platforms for AI-generated music. This guide focuses on MusicLM, MusicGen, and Stable Audio, exploring the technical breakthroughs and challenges in creating music with AI.